Artificial Intelligence Using for Weather Forecasting

Abstract

Weather forecasting is very a statistical measure than a binary decision. We have a tendency to will develop an intelligent weather predicting module since this has become a necessary tool. This tool considers measures like most temperature, minimum temperature and rain for a sampled period of days and is analyzed. An intelligent prediction based on the obtainable data is accomplished using machine learning techniques. The analysis and prediction are supported linear regression that predicts consequent day’s weather with smart accuracy. An accuracy of over ninetieth is obtained, supported the data set. Recent studies have mirrored that machine-learning techniques achieved higher performance than traditional statistical methods. Machine learning, a branch of computing has been established to be a robust technique for predicting and analyzing a given data set. The module plays an important role in agricultural, industrial and supply fields wherever the weather outlook is a crucial criterion.